A Tool for RApid Model Parameterization and its Applications

Kun Chan Lan, John Heidemann

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

The utility of simulations and analysis heavily relies on good models of network traffic. However, it is difficult to model and simulate the Internet traffic because of the network's great heterogeneity and rapid change. The statistical properties of Internet traffic not only constantly change over time but also vary in other dimensions such as locations and directions. Previously we have developed a tool RAMP that supports rapid parameterization of traffic models from live network measurements. In this paper, we first extend RAMP to support near-real-time trace-driven simulation. Next, we demonstrate the applications of RAMP via three case studies: generation of realistic traffic model for simulation, generation of high bandwidth synthetic network traces, and analysis and modeling of malicious' traffic. Finally, we discuss some lessons we learned from using RAMP for traffic modeling.

Original languageEnglish
Title of host publicationProceedings of the ACM SIGCOMM Workshops
Pages76-86
Number of pages11
Publication statusPublished - 2003
EventProceedings of the ACM SIGCOMM Workshops - Karlsruhe, Germany
Duration: 2003 Aug 252003 Aug 25

Publication series

NameProceedings of the ACM SIGCOMM Workshops

Other

OtherProceedings of the ACM SIGCOMM Workshops
Country/TerritoryGermany
CityKarlsruhe
Period03-08-2503-08-25

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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